Fuzzy clustering with entropy regularization for interval-valued data with an application to scientific journal citations

Pierpaolo D’Urso (), Livia Giovanni (), Leonardo Salvatore Alaimo (), Raffaele Mattera () and Vincenzina Vitale ()
Additional contact information
Pierpaolo D’Urso: Sapienza - University of Rome
Livia Giovanni: Luiss University
Leonardo Salvatore Alaimo: Sapienza - University of Rome
Raffaele Mattera: Sapienza - University of Rome
Vincenzina Vitale: Sapienza - University of Rome

Annals of Operations Research, 2024, vol. 342, issue 3, No 12, 1605-1628

Abstract: Abstract In recent years, the research of statistical methods to analyze complex structures of data has increased. In particular, a lot of attention has been focused on the interval-valued data. In a classical cluster analysis framework, an interesting line of research has focused on the clustering of interval-valued data based on fuzzy approaches. Following the partitioning around medoids fuzzy approach research line, a new fuzzy clustering model for interval-valued data is suggested. In particular, we propose a new model based on the use of the entropy as a regularization function in the fuzzy clustering criterion. The model uses a robust weighted dissimilarity measure to smooth noisy data and weigh the center and radius components of the interval-valued data, respectively. To show the good performances of the proposed clustering model, we provide a simulation study and an application to the clustering of scientific journals in research evaluation.

Keywords: Fuzzy clustering; Robust clustering; Weighting system; Interval-valued data; Entropy; Journal citation indices; Evaluation (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10479-023-05180-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:342:y:2024:i:3:d:10.1007_s10479-023-05180-1

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-023-05180-1

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().